Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

From Automation to Augmentation: A Framework for Designing Human-Centric Work Environments in Society 5.0

Cristian Espinal Maya

Abstract

Society 5.0 and Industry 5.0 call for human-centric technology integration, yet the concept lacks an operational definition that can be measured, optimized, or evaluated at the firm level. This paper addresses three gaps. First, existing models of human-AI complementarity treat the augmentation function phi(D) as exogenous -- dependent only on the stock of AI deployed -- ignoring that two firms with identical technology investments achieve radically different augmentation outcomes depending on how the workplace is organized around the human-AI interaction. Second, no multi-dimensional instrument exists linking workplace design choices to augmentation productivity. Third, the Society 5.0 literature proposes human-centricity as a normative aspiration but provides no formal criterion for when it is economically optimal. We make four contributions. (1) We endogenize the augmentation function as phi(D, W), where W is a five-dimensional workplace design vector -- AI interface design, decision authority allocation, task orchestration, learning loop architecture, and psychosocial work environment -- and prove that human-centric design is profit-maximizing when the workforce's augmentable cognitive capital exceeds a critical threshold. (2) We conduct a PRISMA-guided systematic review of 120 papers (screened from 6,096 records) to map the evidence base for each dimension. (3) We provide secondary empirical evidence from Colombia's EDIT manufacturing survey (N=6,799 firms) showing that management practice quality amplifies the return to technology investment (interaction coefficient 0.304, p<0.01). (4) We propose the Workplace Augmentation Design Index (WADI), a 36-item theory-grounded instrument for diagnosing human-centricity at the firm level. Decision authority allocation emerges as the binding constraint for Society 5.0 transitions, and task orchestration as the most under-researched dimension

From Automation to Augmentation: A Framework for Designing Human-Centric Work Environments in Society 5.0

Abstract

Society 5.0 and Industry 5.0 call for human-centric technology integration, yet the concept lacks an operational definition that can be measured, optimized, or evaluated at the firm level. This paper addresses three gaps. First, existing models of human-AI complementarity treat the augmentation function phi(D) as exogenous -- dependent only on the stock of AI deployed -- ignoring that two firms with identical technology investments achieve radically different augmentation outcomes depending on how the workplace is organized around the human-AI interaction. Second, no multi-dimensional instrument exists linking workplace design choices to augmentation productivity. Third, the Society 5.0 literature proposes human-centricity as a normative aspiration but provides no formal criterion for when it is economically optimal. We make four contributions. (1) We endogenize the augmentation function as phi(D, W), where W is a five-dimensional workplace design vector -- AI interface design, decision authority allocation, task orchestration, learning loop architecture, and psychosocial work environment -- and prove that human-centric design is profit-maximizing when the workforce's augmentable cognitive capital exceeds a critical threshold. (2) We conduct a PRISMA-guided systematic review of 120 papers (screened from 6,096 records) to map the evidence base for each dimension. (3) We provide secondary empirical evidence from Colombia's EDIT manufacturing survey (N=6,799 firms) showing that management practice quality amplifies the return to technology investment (interaction coefficient 0.304, p<0.01). (4) We propose the Workplace Augmentation Design Index (WADI), a 36-item theory-grounded instrument for diagnosing human-centricity at the firm level. Decision authority allocation emerges as the binding constraint for Society 5.0 transitions, and task orchestration as the most under-researched dimension

Paper Structure

This paper contains 66 sections, 9 theorems, 32 equations, 2 figures, 10 tables.

Table of Contents

  1. Introduction
  2. The Problem: Society 5.0 Without Operational Content
  3. The Gap: Exogenous Augmentation and Missing Measurement
  4. Contributions
  5. Preview of Key Results
  6. Road Map
  7. Literature Review and Theoretical Context
  8. From Industry 4.0 to Society 5.0: The Human-Centricity Turn
  9. Human-AI Complementarity: From Theory to Evidence
  10. Decision Authority: The Organizational Economics of Human-AI Allocation
  11. Work Design in the AI Era: Job Demands, Resources, and Psychosocial Outcomes
  12. Sustainability, Circular Economy, and the Energy Constraint
  13. Gaps and This Paper's Position
  14. Theoretical Framework
  15. Endogenizing the Augmentation Function
  16. ...and 51 more sections

Key Result

Proposition 1

There exists a threshold $\theta^* > 0$ such that if $H^A / (H^A + H^C) > \theta^*$, then the profit-maximizing workplace design $W^*$ is human-centric: $W^* > W^{auto}$ component-wise. $\blacktriangleleft$$\blacktriangleleft$

Figures (2)

  • Figure 1: Management Quality Composite vs. Innovation Share by CIIU sector. Bubble size proportional to sector employment; color reflects Human Capital Quality (HCQ). Dashed line: OLS fit. Source: DANE EDIT X (manufacturing, 2019--2020) and EDITS VIII (services, 2020--2021).
  • Figure 2: Correlation heatmap of management quality sub-indicators, technology investment, human capital, and innovation outcomes. Source: DANE EDIT/EDITS.

Theorems & Definitions (18)

  • Definition 1: Human-Centric Workplace Design
  • Proposition 1: Human-Centricity as Optimality
  • Corollary 1
  • Proposition 2: Under-Investment in Human-Centricity
  • Proposition 3: Automation Trap
  • Proposition 4: Human-Centricity as Optimality
  • proof
  • Corollary 2: Human-Centricity is NOT Always Optimal
  • Remark 1
  • Proposition 5: Under-Investment Theorem
  • ...and 8 more